Citation
Abstract
Purpose: The aim of the study was to identify factors associated with tertiary students’ intention to pursue agriculture-related careers. The moderating effect of gender and geographic location on the predictive relationships was also examined. Design/methodology/approach: Quantitative data were collected from 488 students studying in five agricultural-based institutions of higher learning in Malaysia. Structural equation modeling (SEM) was used to analyze the data. Findings: Attitudes towards agriculture, perceived behavioral control, agricultural knowledge, and perception of sustainable agriculture methods predicted students’ intention to join agricultural-related occupations. The results differed according to gender and place of residence for all predictors except conditions of resource facilitation. Practical implications: The findings offer insight into the factors agricultural students consider when deciding whether to pursue careers in agriculture. This can help educational decision-makers respond to the motivational needs of students in recruiting and retention. Theoretical implications: By introducing three new constructs, the study extends application of the theory of planned behavior for predicting intention and behavior in the field of agriculture. Originality/value: The study addresses an important gap on key factors predicting tertiary students’ pursuit of careers in agriculture. A better understanding of factors that shape students’ decision-making about future careers in agriculture can raise critical awareness of where programing efforts are likely to be effective.
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Official URL or Download Paper: https://www.tandfonline.com/doi/abs/10.1080/138922...
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Additional Metadata
Item Type: | Article |
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Divisions: | Institute for Social Science Studies |
DOI Number: | https://doi.org/10.1080/1389224X.2021.1910523 |
Publisher: | Taylor and Francis Group |
Keywords: | Agricultural career; Theory of planned behaviour; Sustainable agriculture; Student career intention; Tertiary education; Structural equation modeling |
Depositing User: | Mohamad Jefri Mohamed Fauzi |
Date Deposited: | 23 Nov 2022 04:30 |
Last Modified: | 23 Nov 2022 04:30 |
Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1080/1389224X.2021.1910523 |
URI: | http://psasir.upm.edu.my/id/eprint/93401 |
Statistic Details: | View Download Statistic |
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